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03/23/2023
Disguise without Disruption: Utility-Preserving Face De-Identification
With the increasing ubiquity of cameras and smart sensors, humanity is g...
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03/11/2023
Exploring Cycle Consistency Learning in Interactive Volume Segmentation
Interactive volume segmentation can be approached via two decoupled modu...
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02/06/2023
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
The k-space data generated from magnetic resonance imaging (MRI) is only...
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01/21/2023
Dynamic MLP for MRI Reconstruction
As convolutional neural networks (CNN) become the most successful recons...
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01/03/2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
Dynamic Magnetic Resonance Imaging (dMRI) is widely used to assess vario...
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12/10/2022
Progressive Multi-view Human Mesh Recovery with Self-Supervision
To date, little attention has been given to multi-view 3D human mesh est...
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10/22/2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Multi-contrast Magnetic Resonance Imaging (MRI) generates multiple medic...
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10/17/2022
Forecasting Human Trajectory from Scene History
Predicting the future trajectory of a person remains a challenging probl...
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10/16/2022
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Federated Learning (FL) is a machine learning paradigm where many local ...
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09/21/2022
PREF: Predictability Regularized Neural Motion Fields
Knowing the 3D motions in a dynamic scene is essential to many vision ap...
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09/10/2022
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Federated Learning (FL) is a machine learning paradigm where local nodes...
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09/10/2022
Self-supervised Human Mesh Recovery with Cross-Representation Alignment
Fully supervised human mesh recovery methods are data-hungry and have po...
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07/12/2022
PseudoClick: Interactive Image Segmentation with Click Imitation
The goal of click-based interactive image segmentation is to obtain prec...
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06/06/2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
High-quality MRI reconstruction plays a critical role in clinical applic...
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12/23/2021
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
We consider the problem of abnormality localization for clinical applica...
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07/27/2021
Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes...
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07/25/2021
Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
Despite much recent progress in video-based person re-identification (re...
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07/13/2021
Everybody Is Unique: Towards Unbiased Human Mesh Recovery
We consider the problem of obese human mesh recovery, i.e., fitting a pa...
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06/16/2021
Multi-scale Neural ODEs for 3D Medical Image Registration
Image registration plays an important role in medical image analysis. Co...
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05/17/2021
Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning
Multi-contrast MRI images provide complementary contrast information abo...
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05/17/2021
Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
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05/01/2021
A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts
Despite substantial progress in applying neural networks (NN) to a wide ...
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08/25/2020
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks
Accurate estimation of shape thickness from medical images is crucial in...
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08/13/2020
Towards Visually Explaining Similarity Models
We consider the problem of visually explaining similarity models, i.e., ...
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08/12/2020
Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network
Real-time cardiac cine MRI does not require ECG gating in the data acqui...
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06/28/2020
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
Cardiac motion estimation plays a key role in MRI cardiac feature tracki...
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06/24/2020
MRI Image Reconstruction via Learning Optimization using Neural ODEs
We propose to formulate MRI image reconstruction as an optimization prob...
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03/10/2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of...
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03/09/2020
Hierarchical Kinematic Human Mesh Recovery
We consider the problem of estimating a parametric model of 3D human mes...
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12/02/2019
Pyramid Convolutional RNN for MRI Reconstruction
Fast and accurate MRI image reconstruction from undersampled data is cri...
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11/18/2019
Towards Robust RGB-D Human Mesh Recovery
We consider the problem of human pose estimation. While much recent work...
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11/18/2019
Learning Similarity Attention
We consider the problem of learning similarity functions. While there ha...
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08/04/2018
Structure-Aware Shape Synthesis
We propose a new procedure to guide training of a data-driven shape gene...
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05/01/2018
Generating Synthetic X-ray Images of a Person from the Surface Geometry
We present a novel framework that learns to predict human anatomy from b...
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02/27/2017